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Kaunas City Polyclinic Picks ChestLink to Speed Up Preventive Health Checks
2022 September 28th
Kaunas city polyclinic introduced Oxipit ChestLink AI application in their preventive health check up workflow. With ChestLink, which can automatically identify normal chest X-rays, healthy patients can be instantly sent home after the examination, without the need to wait for the study report at the polyclinic. Operating with 99.9% sensitivity, ChestLink can automatically report on 26% of all X-ray studies at Kaunas city polyclinic.
Chest Experts Oxipit And contextflow Team Up For Diagnostic Quality Assurance
2022 July 13th
The new partnership aims to mitigate the risk associated with missed findings in CT medical imaging studies. The collaboration will combine Oxipit’s ChestEye Quality and contextflow’s SEARCH Lung CT products to identify missed findings in CT scans in near-real time. ECR 2022 will offer the first preview of the combined solution, and the first installation will be deployed at Leiden University Medical Center.
Study: 1 in 552 CXR Studies Feature Clinically Significant Diagnostic Errors
2022 July 12th
For the annual European Congress of Radiology meeting in Vienna, Oxipit has conducted a retrospective validation study from internal ChestEye Quality performance data at more than 10 pilot deployment institutions. The study concludes that 1 in 552 (0.18%) chest X-ray studies reported by a radiologist include clinically significant diagnostic mistakes. The vast majority - 78.46% - of the errors are missed findings of pulmonary nodules and lymphadenopathy.
ChestLink Autonomous AI Application Misses No Critical Findings In A Real-World Clinical Test
2022 May 25th
Researchers in Finland released a preprint of a study on the application performance on real-world clinical data. In the study, the application analyzed 10.000 chest X-rays of Finnish primary health care patients. ChestLink software was able to identify normal studies with 99.8% sensitivity and and specificity of 36.4% with a minimal number of false negatives that would lead to effectively no compromise on patient safety and no critical findings missed by the software.
Oxipit and AstraZeneca Join Forces to Aid Early Lung Cancer Detection
2022 April 26th
The companies conducted a joint pilot study, where Oxipit’s ChestEye Quality AI software is employed for improved pulmonary nodule detection. The software was deployed in two major primary care centers in Lithuania. With nearly 50.000 chest X-ray images analyzed over the course of 2021, ChestEye Quality helped to detect 82 additional clinically relevant nodule findings, potentially identifying additional early instances of lung cancer.
Autonomous AI Medical Imaging: Understanding ChestLink
2022 April 5th
ChestLink is the first AI medical application to produce imaging study reports without any involvement from a human radiologist. This FAQ article explains 'everything ChestLink' in simple terms.
Oxipit Awarded CE Mark For First Autonomous AI Medical Imaging Application
2022 March 29th
AI medical imaging application developer Oxipit was granted CE Class IIb certification for ChestLink autonomous AI imaging suite. The application autonomously reports on chest X-rays featuring no abnormalities without any involvement from a radiologist. It is the first regulatory approved AI medical imaging application to perform diagnostics autonomously.
Oxipit to offer free of charge retrospective CXR quality audit at RSNA
2021 November 24th
At the annual RSNA meeting, the AI medical imaging company will present the new ChestEye Quality AI double reading tool. To showcase vanguard ChestEye Quality capabilities, Oxipit will offer a free-of-charge quality audit for 6 months of retrospective CXR data.
Dr Naglis Ramanauskas: Reducing Missed Findings with AI in Routine Medical Imaging Workflow
2021 November 10th
Dr Naglis Ramanauskas is a researcher at Oxipit. Trained as a radiologist, he aims to use his first-hand clinical experience to maximize the added value of Oxipit medical imaging products. In this talk with Dr Ramanauskas we discuss how AI productization and workflow alignment are no less important than statistical model performance.
Prof Osmo Tervonen: The Role of AI In Value Based Medicine
2021 October 11th
Prof Osmo Tervonen is a professor and a senior radiologist at Oulu University Hospital in Finland. He is also a partner in Parasmed - a Nairobi based medical device distributor, which provides access to emerging medical technologies to the countries in the East African region. In his interview with Oxipit, prof Tervonen shares his views on AI in healthcare and AI’s role in the field of value based medicine.

Media About Us

Society for Imaging Informatics in Medicine:

Oxipit’s Chest X-ray Search Solution Selected as One of Top Innovations by SIIM

European Congress of Radiology (ECR 2018):

Oxipit’s Peer Reviewed Poster On Multiclass Chest X-Ray Pathology Classification

Intel:

Press Release on our Kaggle win

Kaggle:

Interview on how we won the Intel & MobileODT Cervical Cancer Screening Competition

Kaggle:

Interview on how we won the Nature Conservancy Fisheries Monitoring Competition

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